Appendix_Riedesel23_PLOS_ONE

The spreadsheet is the appendix from the study by Riedesel et al. 2023 and contains the sections: The table lists: the designation of Soil Climate Regions (SCR) with SCR number and SCR name in English and original German SCR name (Table A) the variance of the basic model from equation 3, the variance of every single weather index (WI) model from equation 1 and the respective variance reduction (VR) from equation 2. (Table B) all covariates that were tested, the respective model variances with the covariate under investigation, the VR due to the incoorporation of the covariate compared to the variance of the baseline model from equation 3 and the variance inflation factor (VIF) (Table C) the model output of equation 1 including parameters, estimates, standard errors, degrees of freedom (df), t values and p values for each WI (Tables D-U) the minimal data set explaining the results displayed in Fig. 5-7 of the PLOS ONE manuscript and lists the parameters mean winter wheat yield, WI occurrence, estimated coefficient, p value, WI yield effect for each WI observed per municipality over the period 1995-2019.(Table V)本电子表格为Riedesel等人2023年研究的附录，包含以下内容：土壤气候区（Soil Climate Regions, SCR）的编号、英文名称与原始德语名称（表A）；基于公式3的基础模型方差、基于公式1的各单一天气指数（Weather Index, WI）模型方差，以及基于公式2的对应方差缩减值（Variance Reduction, VR）（表B）；所有被检验的协变量、纳入待检验协变量后的对应模型方差、相较于公式3基准模型方差的协变量引入方差缩减值，以及方差膨胀因子（Variance Inflation Factor, VIF）（表C）；各天气指数基于公式1的模型输出结果，包含参数、估计值、标准误、自由度（Degrees of Freedom, df）、t值与p值（表D至表U）；阐释《PLOS ONE》手稿中图5至图7结果的最小数据集，该数据集列出了1995-2019年间各行政区观测到的每个天气指数对应的参数：冬小麦平均产量、天气指数出现频次、估计系数、p值以及天气指数产量效应（表V）。